We invest in projects which automate processes, eliminate middlemen and reduce information asymmetry within markets to make them more efficient. We focus on Fintech, DevTools, SaaS verticals and Artificial Intelligence, Blockchain, Big Data technologies.

About

No small ideas.Built to last.

We set several rules which distinct us from all other VC firms:

We invest in CEE-based disruptive ideas which can completely change economic landscapes in the chosen industries,

We mostly invest at Seed stage. We prefer post-MVP projects.

We only invest in our areas of competencies (technology - driven B2B companies).

We are rooted in a global startup ecosystem, closely cooperating with top-tier international angel investors, accelerators and vc funds.

We are Founder-centric, with help-but-not-disturb mentality.

We invest 100k to 500k EUR but we can consider investing smaller/larger amounts in interesting ideas and technologies.

We use fair & up-to-par with global standards deal terms.

We help with smart investment planning and advocating for international expansion & further fundraising from day 1.

We support in the long run - we know it takes time to build global winners.

We build companies to last.

Investment Motifs

About

Data processing and analytics stand for the main competitive advantage for most of the businesses in the years to come. Companies started to analyse massive amounts of data and derive predictive insights to beat their competitors.

Why now

Accelerating adoption of AI / Machine Learning stack by a broader set of companies, ranging from medium-sized to the very largest multinationals.

Areas of interest

About

Bitcoin the digital currency was the first successful application of blockchain. The technology allows disintermediation of business models by eliminating trusted 3rd parties from value chains. The ultimate goal of this technology stack is to liberate the data and empower the users.

Why now

Now, innovative startups are using blockchain technology to provide greater efficiency, transparency and security in all sorts of industries.

About

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organisations make more-informed business decisions.

Why now

Companies sit on large data sets and have just started a transformation from traditional business models into data centric models.

Areas of interest

About

Programming seems to be a next industry to be disrupted by automation of code writing, testing, software deployment and management.

Why now

Record high cost of hiring engineers forced companies to focus more on automation and increased efficiency of programmers. DevOps and automated testing are the concepts that have catalysed into a movement and are rapidly spreading throughout the technical community.

About

Financial Industry was for years one of the the least vulnerable for disruption in the economy. FinTechs are a group of startups aiming for disintermediation and defragmentation of traditional financial business models.

Why now

Now it’s perfect time to get off the bench: over 20% of Financial Services businesses are at risk to FinTechs and the industry is growing at exponential pace. We bet on both horizontal and vertical unbundling of financial industry.

Areas of interest

About

Data processing and analytics stand for the main competitive advantage for most of the businesses in the years to come. Companies started to analyse massive amounts of data and derive predictive insights to beat their competitors.

Why now

Accelerating adoption of AI / Machine Learning stack by a broader set of companies, ranging from medium-sized to the very largest multinationals.

Areas of interest

About

Bitcoin the digital currency was the first successful application of blockchain. The technology allows disintermediation of business models by eliminating trusted 3rd parties from value chains. The ultimate goal of this technology stack is to liberate the data and empower the users.

Why now

Now, innovative startups are using blockchain technology to provide greater efficiency, transparency and security in all sorts of industries.

About

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organisations make more-informed business decisions.

Why now

Companies sit on large data sets and have just started a transformation from traditional business models into data centric models.

Areas of interest

About

Programming seems to be a next industry to be disrupted by automation of code writing, testing, software deployment and management.

Why now

Record high cost of hiring engineers forced companies to focus more on automation and increased efficiency of programmers. DevOps and automated testing are the concepts that have catalysed into a movement and are rapidly spreading throughout the technical community.

About

Financial Industry was for years one of the the least vulnerable for disruption in the economy. FinTechs are a group of startups aiming for disintermediation and defragmentation of traditional financial business models.

Why now

Now it’s perfect time to get off the bench: over 20% of Financial Services businesses are at risk to FinTechs and the industry is growing at exponential pace. We bet on both horizontal and vertical unbundling of financial industry.

Contact

Every journey starts with a single step. Drop us a line!

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You can also come and enjoy coffee with us!

Data Ventures

Head Office
Rozbrat 6/18
00-451 Warsaw, Poland

HQ
Wloclawska 161
87-100 Torun, Poland

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I hereby agree for processing my personal data by Data Ventures LLC for business contacts with Data Ventures LLC. Detailed information on the processing of personal data can be found at the link dataventures.io/gpdr